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Machine Learning & Data Engineer

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Machine Learning & Data Engineer in USA

  • Sunnyvale, CA

Responsibilities

  • Develop machine learning and hybrid physics-data approaches to improve vehicle and component model accuracy.
  • Develop calibration, parameter estimation, adaptive modeling, and data-driven model improvement methods across vehicle states and operating conditions.
  • Build workflows that compare model predictions with test, simulation, and real-world vehicle data to identify model improvement opportunities.
  • Build pipelines for ingesting, cleaning, synchronizing, transforming, storing, and accessing large-scale vehicle telemetry and time-series data.
  • Develop cloud-based infrastructure for data processing, model training, simulation, evaluation, and validation.
  • Build tools and workflows for dataset management, model evaluation, experiment tracking, and reproducible model development.
  • Support data processing, model evaluation, and analysis workflows for vehicle intelligence.

Benefits

  • The interview process includes application review, coding test, two interviews, offer negotiation, and hiring, with procedures subject to variation.
  • Applications must be submitted in PDF format and under 30MB.
  • The employer encourages applications from U.S. veterans and candidates eligible for employment preference under applicable laws.
  • Qualified individuals with disabilities are encouraged to apply and will receive consideration under the ADA.
  • 42dot is an equal opportunity employer.

42dot

42dot builds software-defined vehicle and autonomous mobility platforms for automakers and mobility service providers. Its products include AI-driven vehicle software, data-based update services, and core platform components such as API gateways and identity/access management to connect services ...

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